Create and optimize data pipelines using Apache Airflow DAGs, Docker, AWS, Python, or Snowflake.
Assemble large, complex datasets that meet both functional and non-functional business requirements.
Design modern, interactive, and user-friendly web applications utilizing React, Material UI, and similar frameworks.
Implement internal process improvements, including infrastructure redesign for scalability, data delivery optimization, and automation of manual processes.
Build infrastructure for efficient extraction, transformation, and loading (ETL) from various data sources using AWS and SQL technologies.
What's Needed?
Minimum of 10+ years of experience in full-stack technology solutions within financial services or asset management.
Hands-on experience designing and delivering cloud-based applications and data pipelines, preferably on AWS.
Strong ability to communicate complex technical challenges and mentor team members.
Experience with cloud platforms, microservices architectures, DevOps practices, and containerization technologies.
Familiarity with tech stack including React, Python, AWS, Lambda, Redshift, S3, and platforms like Bloomberg or FactSet is a plus